胃癌多药耐药相关microRNA的筛选和鉴定

目的:研究胃癌多药耐药相关microRNA并对其进行鉴定、靶基因预测和预测靶基因的生物信息学分析。方法:运用microRNA芯片对胃癌多药耐药细胞SGC7901/ADR和其亲本细胞SGC7901进行microRNA表达谱分析;采用实时定量PCR的方法对差异表达的miRNA进行验证;再运用生物信息学方法对差异表达的miRNA进行靶基因预测;再对预测的靶基因进行GO和KEGG通路分析。结果:与SGC7901相比SGC7901/ADR表达上调超过2倍的miRNA有6个,表达下调超过2倍的有11个。实时定量PCR对共同差异表达的microRNA进行验证显示与芯片结果的一致性。对这17个差异表达的miRNA进行靶基因预测,再对预测得到的靶基因进行GO和KEGG通路分析显示预测的靶基因参与了肿瘤相关通路、MAPK通路、Focal Adhesion通路等。结论:我们初步筛选得到了胃癌多药耐药相关miRNA并对其进行了生物信息学分析,为进一步地探索miRNA在胃癌多药耐药中的作用及其分子机制奠定了基础。

Identification of Multidrug Resistance Associated microRNA in Gastric Cancer*

Objective： To investigate the microRNAs associated with multidrug resistance in gastric cancer and analyze the predi- cted target genes of the multidrug resistance associated miRNAs. Methods： microRNA expression profiling of multidrug resistant gastric cancer subline SGC7901/ADR and its parental SGC7901 were detected by using the latest microRNA microarray. Quantitative RT-PCR was used to validate the differentially expressed miRNAs between SGC7901/ADR and SGC7901. Then target prediction were performed on the differentially expressed miRNAs, followed by GO and KEGG pathway analyses of the predicted target genes. Results： The total of 6 miRNAs up-regulated in SGC7901/ADR cells compared with SGC7901 and 11 miRNAs down-regulated in SGC7901/ADR cells compared with SGC7901. Quantitative RT-PCR results displayed a good response to the results of the microRNA array. And KEGG pathway analysis of the predicted target genes showed that pathway in cancer, MAPK signaling pathway and Focal adhesion were enriched pathways. Conclusions： A list of multidrug resistance associated miRNAs in gastric cancer was obtained and bioinformatics analyses were performed on them. The results above should be the foundation for more profound mechanism research.